Local speed of sound estimation in tissue using pulse-echo ultrasound: Model-based approach

DOI PDF 被引用文献8件
  • Marko Jakovljevic
    Department of Radiology, Stanford School of Medicine 1 , Stanford, California 94305, USA
  • Scott Hsieh
    Department of Radiology, University of California Los Angeles 2 , Los Angeles, California 90095, USA
  • Rehman Ali
    Department of Radiology, Stanford School of Medicine 1 , Stanford, California 94305, USA
  • Gustavo Chau Loo Kung
    Department of Engineering, Pontificia Universidad Catolica del Peru 3 , Lima, Peru
  • Dongwoon Hyun
    Department of Radiology, Stanford School of Medicine 1 , Stanford, California 94305, USA
  • Jeremy J. Dahl
    Department of Radiology, Stanford School of Medicine 1 , Stanford, California 94305, USA

説明

<jats:p>A model and method to accurately estimate the local speed of sound in tissue from pulse-echo ultrasound data is presented. The model relates the local speeds of sound along a wave propagation path to the average speed of sound over the path, and allows one to avoid bias in the sound-speed estimates that can result from overlying layers of subcutaneous fat and muscle tissue. Herein, the average speed of sound using the approach by Anderson and Trahey is measured, and then the authors solve the proposed model for the local sound-speed via gradient descent. The sound-speed estimator was tested in a series of simulation and ex vivo phantom experiments using two-layer media as a simple model of abdominal tissue. The bias of the local sound-speed estimates from the bottom layers is less than 6.2 m/s, while the bias of the matched Anderson's estimates is as high as 66 m/s. The local speed-of-sound estimates have higher standard deviation than the Anderson's estimates. When the mean local estimate is computed over a 5-by-5 mm region of interest, its standard deviation is reduced to less than 7 m/s.</jats:p>

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